Linked Life Data

12019667

Source:http://linkedlifedata.com/resource/pubmed/id/12019667

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2002-5-21
pubmed:abstractText
Despite the advent of new atypical antipsychotics, clozapine remains an important option in the treatment of patients with poor response to conventional antipsychotics. Clinicians would be well served if clinical characteristics could be identified that predict a favorable response to clozapine. A few studies addressing this issue have reported inconsistent results.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
0160-6689
pubmed:author
pubmed:issnType
Print
pubmed:volume
63
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
420-4
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
2002
pubmed:articleTitle
Clinical predictors of response to clozapine treatment in ambulatory patients with schizophrenia.
pubmed:affiliation
Department of Psychiatric Research, Psychiatric University Hospital, Zurich, Switzerland. umbricht@bli.unizh.ch
pubmed:publicationType
Journal Article, Clinical Trial, Comparative Study, Research Support, U.S. Gov't, P.H.S., Controlled Clinical Trial, Multicenter Study